deepset-ai/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Language:Python
Total stars: 15911
Stars trend:
#python
#ai, #bert, #chatgpt, #generativeai, #gpt3, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #nlp, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #squad, #summarization, #transformers
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Language:Python
Total stars: 15911
Stars trend:
27 Aug 2024
2am █▉ +15
3am ██ +16
4am ▉ +7
5am █▌ +12
6am ██ +16
7am █▋ +13
8am █▏ +9
9am ▉ +7
10am ▌ +4
11am ▎ +2
12pm +0
1pm ▍ +3#python
#ai, #bert, #chatgpt, #generativeai, #gpt3, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #nlp, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #squad, #summarization, #transformers
NexaAI/nexa-sdk
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
Language:Python
Total stars: 1085
Stars trend:
#python
#asr, #edgecomputing, #languagemodel, #llm, #ondeviceai, #ondeviceml, #sdk, #sdkpython, #stablediffusion, #transformers, #tts, #vlm, #whisper
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
Language:Python
Total stars: 1085
Stars trend:
22 Sep 2024
10pm █ +8
11pm ▊ +6
23 Sep 2024
12am ▍ +3
1am ▊ +6
2am █▎ +10
3am ▋ +5
4am █ +8
5am ▌ +4
6am █▏ +9
7am ▌ +4
8am ▌ +4
9am █▏ +9#python
#asr, #edgecomputing, #languagemodel, #llm, #ondeviceai, #ondeviceml, #sdk, #sdkpython, #stablediffusion, #transformers, #tts, #vlm, #whisper
NVIDIA/Cosmos-Tokenizer
A suite of image and video neural tokenizers
Language:Python
Total stars: 95
Stars trend:
#python
#diffusion, #tokenization, #transformers
A suite of image and video neural tokenizers
Language:Python
Total stars: 95
Stars trend:
6 Nov 2024
4pm ▎ +2
5pm +0
6pm ▊ +6
7pm ▍ +3
8pm ▊ +6
9pm ▉ +7
10pm ▊ +6
11pm █▊ +14
7 Nov 2024
12am ▋ +5
1am █▏ +9
2am ██▉ +23#python
#diffusion, #tokenization, #transformers
FoundationVision/Infinity
Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Language:Python
Total stars: 611
Stars trend:
#python
#autoregressivemodel, #autoregressivemodels, #generativemodel, #gpt, #gpt2, #imagegeneration, #texttoimage, #texttoimagegeneration, #transformers
Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Language:Python
Total stars: 611
Stars trend:
2 Jan 2025
9pm ▏ +1
10pm +0
11pm +0
3 Jan 2025
12am +0
1am +0
2am ▎ +2
3am ▍ +3
4am +0
5am +0
6am +0
7am ████▎ +34
8am ████▉ +39#python
#autoregressivemodel, #autoregressivemodels, #generativemodel, #gpt, #gpt2, #imagegeneration, #texttoimage, #texttoimagegeneration, #transformers
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Language:Python
Total stars: 38120
Stars trend:
#python
#agent, #ai, #chatglm, #finetuning, #gpt, #instructiontuning, #languagemodel, #largelanguagemodels, #llama, #llama3, #llm, #lora, #mistral, #moe, #peft, #qlora, #quantization, #qwen, #rlhf, #transformers
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Language:Python
Total stars: 38120
Stars trend:
14 Jan 2025
12am ▏ +1
1am ▏ +1
2am ▊ +6
3am █▍ +11
4am ▋ +5
5am ▋ +5
6am █▏ +9
7am ██▍ +19
8am █ +8
9am █▎ +10
10am ▋ +5
11am ▊ +6#python
#agent, #ai, #chatglm, #finetuning, #gpt, #instructiontuning, #languagemodel, #largelanguagemodels, #llama, #llama3, #llm, #lora, #mistral, #moe, #peft, #qlora, #quantization, #qwen, #rlhf, #transformers
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Language:Python
Total stars: 58051
Stars trend:
#python
#attention, #deeplearning, #deeplearningtutorial, #gan, #literateprogramming, #lora, #machinelearning, #neuralnetworks, #optimizers, #pytorch, #reinforcementlearning, #transformer, #transformers
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Language:Python
Total stars: 58051
Stars trend:
19 Jan 2025
9pm ▏ +1
10pm █▏ +9
11pm ▌ +4
20 Jan 2025
12am ▍ +3
1am ▍ +3
2am ▋ +5
3am █▏ +9
4am █▎ +10
5am █▏ +9
6am █▏ +9
7am █ +8
8am ▋ +5#python
#attention, #deeplearning, #deeplearningtutorial, #gan, #literateprogramming, #lora, #machinelearning, #neuralnetworks, #optimizers, #pytorch, #reinforcementlearning, #transformer, #transformers
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Language:Jupyter Notebook
Total stars: 66607
Stars trend:
#jupyternotebook
#ai, #azure, #chatgpt, #dalle, #generativeai, #generativeai, #gpt, #languagemodel, #llms, #microsoftforbeginners, #openai, #promptengineering, #semanticsearch, #transformers
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Language:Jupyter Notebook
Total stars: 66607
Stars trend:
22 Jan 2025
11am ▏ +1
12pm ▍ +3
1pm +0
2pm ▍ +3
3pm ▌ +4
4pm ▌ +4
5pm ▊ +6
6pm █▍ +11
7pm █▋ +13
8pm █▋ +13
9pm █▍ +11
10pm █▉ +15#jupyternotebook
#ai, #azure, #chatgpt, #dalle, #generativeai, #generativeai, #gpt, #languagemodel, #llms, #microsoftforbeginners, #openai, #promptengineering, #semanticsearch, #transformers
👍1
transformerlab/transformerlab-app
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
Language:TypeScript
Total stars: 555
Stars trend:
#typescript
#electron, #llama, #llms, #lora, #mlx, #rlhf, #transformers
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
Language:TypeScript
Total stars: 555
Stars trend:
29 Jan 2025
2pm ▏ +1
3pm █▌ +12
4pm ██▎ +18
5pm █▌ +12
6pm ▉ +7
7pm █▋ +13
8pm █ +8
9pm ▍ +3
10pm ▉ +7#typescript
#electron, #llama, #llms, #lora, #mlx, #rlhf, #transformers
babycommando/neuralgraffiti
Live-bending a foundation model’s output at neural network level.
Language:Jupyter Notebook
Total stars: 158
Stars trend:
#jupyternotebook
#finetuning, #liquidneuralnetworks, #llm, #neuralnetwork, #pytorch, #selfattention, #transformers
Live-bending a foundation model’s output at neural network level.
Language:Jupyter Notebook
Total stars: 158
Stars trend:
8 Apr 2025
5am ▏ +1
6am ▏ +1
7am ▌ +4
8am █▎ +10
9am ▊ +6
10am ▉ +7
11am ▊ +6
12pm █ +8
1pm █ +8
2pm █▍ +11
3pm █ +8
4pm █▎ +10#jupyternotebook
#finetuning, #liquidneuralnetworks, #llm, #neuralnetwork, #pytorch, #selfattention, #transformers
👍1
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Language:Jupyter Notebook
Total stars: 10369
Stars trend:
#jupyternotebook
#bert, #gpt2, #layoutlm, #pytorch, #transformers, #visiontransformer
This repository contains demos I made with the Transformers library by HuggingFace.
Language:Jupyter Notebook
Total stars: 10369
Stars trend:
8 Apr 2025
11am ██▎ +18
12pm █ +8
1pm ▊ +6
2pm █▎ +10
3pm ▌ +4
4pm ▋ +5
5pm ▍ +3
6pm ▉ +7
7pm ▋ +5
8pm ▏ +1
9pm ▋ +5
10pm ▋ +5#jupyternotebook
#bert, #gpt2, #layoutlm, #pytorch, #transformers, #visiontransformer
👍1
Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Language:Python
Total stars: 1009
Stars trend:
#python
#applesilicon, #audioprocessing, #mlx, #multimodal, #speechrecognition, #speechsynthesis, #speechtotext, #texttospeech, #transformers
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Language:Python
Total stars: 1009
Stars trend:
8 May 2025
5am ▍ +3
6am ▍ +3
7am ▏ +1
8am ▍ +3
9am +0
10am ▋ +5
11am █▍ +11
12pm █▍ +11
1pm ▍ +3
2pm █▊ +14
3pm █▊ +14
4pm █ +8#python
#applesilicon, #audioprocessing, #mlx, #multimodal, #speechrecognition, #speechsynthesis, #speechtotext, #texttospeech, #transformers
1🔥1
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Language:Python
Total stars: 49776
Stars trend:
#python
#agent, #ai, #chatglm, #finetuning, #gpt, #instructiontuning, #languagemodel, #largelanguagemodels, #llama, #llama3, #llm, #lora, #mistral, #moe, #peft, #qlora, #quantization, #qwen, #rlhf, #transformers
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Language:Python
Total stars: 49776
Stars trend:
24 May 2025
6am ▏ +1
7am █ +8
8am ▋ +5
9am █▎ +10
10am █▋ +13
11am ███ +24
12pm █▊ +14
1pm █▌ +12
2pm █▊ +14
3pm ██▌ +20
4pm ███▏ +25
5pm ██▏ +17#python
#agent, #ai, #chatglm, #finetuning, #gpt, #instructiontuning, #languagemodel, #largelanguagemodels, #llama, #llama3, #llm, #lora, #mistral, #moe, #peft, #qlora, #quantization, #qwen, #rlhf, #transformers
niedev/RTranslator
Open source real-time translation app for Android that runs locally
Language:C++
Total stars: 8132
Stars trend:
#cplusplus
#android, #androidapp, #bluetoothle, #mobileapp, #nllb, #offline, #onnx, #onnxruntime, #realtimetranslator, #sentencepiece, #transformers, #translation, #translator, #whisper
Open source real-time translation app for Android that runs locally
Language:C++
Total stars: 8132
Stars trend:
14 Jun 2025
7am ▏ +1
8am +0
9am +0
10am +0
11am +0
12pm █▌ +12
1pm ██▍ +19
2pm ██▋ +21
3pm █▍ +11
4pm █▏ +9
5pm ▊ +6#cplusplus
#android, #androidapp, #bluetoothle, #mobileapp, #nllb, #offline, #onnx, #onnxruntime, #realtimetranslator, #sentencepiece, #transformers, #translation, #translator, #whisper
arc53/DocsGPT
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.
Language:TypeScript
Total stars: 16162
Stars trend:
#typescript
#ai, #chatgpt, #docsgpt, #hacktoberfest, #informationretrieval, #languagemodel, #llm, #machinelearning, #naturallanguageprocessing, #python, #pytorch, #rag, #react, #semanticsearch, #transformers, #webapp
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.
Language:TypeScript
Total stars: 16162
Stars trend:
16 Jul 2025
5pm █▏ +9
6pm ▊ +6
7pm ▋ +5
8pm ▌ +4
9pm ▍ +3
10pm ▍ +3
11pm █▏ +9
17 Jul 2025
12am ▊ +6
1am ██ +16
2am ██▏ +17
3am █▊ +14
4am ▊ +6#typescript
#ai, #chatgpt, #docsgpt, #hacktoberfest, #informationretrieval, #languagemodel, #llm, #machinelearning, #naturallanguageprocessing, #python, #pytorch, #rag, #react, #semanticsearch, #transformers, #webapp
Michael-A-Kuykendall/shimmy
⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.
Language:Rust
Total stars: 847
Stars trend:
#rust
#apiserver, #commandlinetool, #developertools, #gguf, #huggingface, #huggingfacemodels, #huggingfacetransformers, #inferenceserver, #llama, #llamacpp, #llminference, #localai, #lora, #machinelearning, #ollamaapi, #openaicompatible, #rust, #rustcrate, #transformers
⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.
Language:Rust
Total stars: 847
Stars trend:
14 Sep 2025
11pm ▏ +1
15 Sep 2025
12am ▏ +1
1am ▍ +3
2am ▎ +2
3am ▌ +4
4am ██▉ +23
5am ███▋ +29
6am ██▊ +22
7am █▏ +9
8am ██ +16
9am █▏ +9
10am ▊ +6#rust
#apiserver, #commandlinetool, #developertools, #gguf, #huggingface, #huggingfacemodels, #huggingfacetransformers, #inferenceserver, #llama, #llamacpp, #llminference, #localai, #lora, #machinelearning, #ollamaapi, #openaicompatible, #rust, #rustcrate, #transformers
🔥1
Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Language:Python
Total stars: 3684
Stars trend:
#python
#applesilicon, #audioprocessing, #mlx, #multimodal, #speechrecognition, #speechsynthesis, #speechtotext, #texttospeech, #transformers
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Language:Python
Total stars: 3684
Stars trend:
25 Jan 2026
12am █▍ +11
1am ▋ +5
2am ▎ +2
3am ▍ +3
4am ▎ +2
5am ▌ +4
6am ▋ +5
7am ▋ +5
8am ▎ +2
9am ▉ +7
10am ▌ +4
11am ███▊ +30#python
#applesilicon, #audioprocessing, #mlx, #multimodal, #speechrecognition, #speechsynthesis, #speechtotext, #texttospeech, #transformers
dreddnafious/thereisnospoon
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
Language:Python
Total stars: 210
Stars trend:
#python
#deeplearning, #engineering, #fundamentals, #machinelearning, #neuralnetworks, #primer, #transformers, #tutorial
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
Language:Python
Total stars: 210
Stars trend:
29 Mar 2026
10pm ▏ +1
11pm ██▉ +23
30 Mar 2026
12am █▌ +12
1am ▊ +6
2am ▉ +7#python
#deeplearning, #engineering, #fundamentals, #machinelearning, #neuralnetworks, #primer, #transformers, #tutorial
rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
Language:Python
Total stars: 2238
Stars trend:
#python
#agents, #ai, #aiagents, #aiengineering, #computervision, #course, #deeplearning, #fromscratch, #generativeai, #llm, #machinelearning, #mcp, #nlp, #python, #reinforcementlearning, #rust, #swarmintelligence, #transformers, #tutorial, #typescript
Learn it. Build it. Ship it for others.
Language:Python
Total stars: 2238
Stars trend:
10 Apr 2026
2am ▍ +3
3am ▍ +3
4am ▎ +2
5am ▎ +2
6am ▎ +2
7am ▏ +1
8am ▎ +2
9am +0
10am +0
11am ▎ +2
12pm ▍ +3
1pm ▊ +6#python
#agents, #ai, #aiagents, #aiengineering, #computervision, #course, #deeplearning, #fromscratch, #generativeai, #llm, #machinelearning, #mcp, #nlp, #python, #reinforcementlearning, #rust, #swarmintelligence, #transformers, #tutorial, #typescript
❤1
FareedKhan-dev/train-llm-from-scratch
A straightforward method for training your LLM, from downloading data to generating text.
Language:Jupyter Notebook
Total stars: 2264
Stars trend:
#jupyternotebook
#gemini, #largelanguagemodels, #llm, #openai, #training, #transformers
A straightforward method for training your LLM, from downloading data to generating text.
Language:Jupyter Notebook
Total stars: 2264
Stars trend:
30 May 2026
4pm ▎ +2
5pm ▏ +1
6pm ▏ +1
7pm ▎ +2
8pm ▌ +4
9pm ▏ +1
10pm ▋ +5
11pm ▋ +5
31 May 2026
12am █ +8#jupyternotebook
#gemini, #largelanguagemodels, #llm, #openai, #training, #transformers
❤1
MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Language:Python
Total stars: 6396
#python
#cli, #consumergpu, #dpo, #finetuning, #gguf, #huggingface, #llm, #llmops, #localai, #localllm, #lora, #lowvram, #machinelearning, #ollama, #peft, #python, #pytorch, #qlora, #sft, #transformers
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Language:Python
Total stars: 6396
#python
#cli, #consumergpu, #dpo, #finetuning, #gguf, #huggingface, #llm, #llmops, #localai, #localllm, #lora, #lowvram, #machinelearning, #ollama, #peft, #python, #pytorch, #qlora, #sft, #transformers