korcarc/text-humanizer
text-humanizer is an open-source project designed to convert text generated by AI to its "humanized" version. Bypasses the most of AI detectors such as Turnitin or GPTZero
Language: Python
#ai_humanization #gptzero #gptzero_bypass #text_humanizer #turnitin #turnitin_bypass
Stars: 726 Issues: 0 Forks: 83
https://github.com/korcarc/text-humanizer
text-humanizer is an open-source project designed to convert text generated by AI to its "humanized" version. Bypasses the most of AI detectors such as Turnitin or GPTZero
Language: Python
#ai_humanization #gptzero #gptzero_bypass #text_humanizer #turnitin #turnitin_bypass
Stars: 726 Issues: 0 Forks: 83
https://github.com/korcarc/text-humanizer
NandhaKishorM/laya
Language: Python
Stars: 1809 Issues: 20 Forks: 171
https://github.com/NandhaKishorM/laya
Language: Python
Stars: 1809 Issues: 20 Forks: 171
https://github.com/NandhaKishorM/laya
GitHub
GitHub - NandhaKishorM/laya: Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text…
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per re...
👍2
TianyuCodings/NanoJev
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
Language: Python
Stars: 1111 Issues: 7 Forks: 145
https://github.com/TianyuCodings/NanoJev
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
Language: Python
Stars: 1111 Issues: 7 Forks: 145
https://github.com/TianyuCodings/NanoJev
GitHub
GitHub - TianyuCodings/NanoJev: A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline. - TianyuCodings/NanoJev
👍5
jackwener/wx-cli-again
WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli
Language: Rust
Stars: 675 Issues: 0 Forks: 1628
https://github.com/jackwener/wx-cli-again
WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli
Language: Rust
Stars: 675 Issues: 0 Forks: 1628
https://github.com/jackwener/wx-cli-again
GitHub
GitHub - jackwener/wx-cli-again: WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli
WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli - jackwener/wx-cli-again
🔥2
jaredpalmer/kev
tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook
Language: Python
Stars: 637 Issues: 2 Forks: 35
https://github.com/jaredpalmer/kev
tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook
Language: Python
Stars: 637 Issues: 2 Forks: 35
https://github.com/jaredpalmer/kev
GitHub
GitHub - jaredpalmer/kev: Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own - jaredpalmer/kev
👍2
zai-org/ZCode
Z.ai's coding agent harness. Powerful, intelligent, extensible.
Language: TypeScript
Stars: 4018 Issues: 11 Forks: 1065
https://github.com/zai-org/ZCode
Z.ai's coding agent harness. Powerful, intelligent, extensible.
Language: TypeScript
Stars: 4018 Issues: 11 Forks: 1065
https://github.com/zai-org/ZCode
GitHub
GitHub - zai-org/ZCode: Z.ai's coding agent harness. Powerful, intelligent, extensible.
Z.ai's coding agent harness. Powerful, intelligent, extensible. - zai-org/ZCode
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mizorewww/laya-mlx
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Language: Python
#apple_silicon #decision_model #inference #laya #local_ai #machine_learning #mlx #modernbert #system_one #typed_decisions
Stars: 2085 Issues: 4 Forks: 105
https://github.com/mizorewww/laya-mlx
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Language: Python
#apple_silicon #decision_model #inference #laya #local_ai #machine_learning #mlx #modernbert #system_one #typed_decisions
Stars: 2085 Issues: 4 Forks: 105
https://github.com/mizorewww/laya-mlx
GitHub
GitHub - mizorewww/laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation…
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. - mizorewww/laya-mlx
❤1👍1
bespokelabsai/nimble
Local typed decisions, contrastive data curation, and model evaluation.
Language: Python
Stars: 1277 Issues: 2 Forks: 89
https://github.com/bespokelabsai/nimble
Local typed decisions, contrastive data curation, and model evaluation.
Language: Python
Stars: 1277 Issues: 2 Forks: 89
https://github.com/bespokelabsai/nimble
GitHub
GitHub - bespokelabsai/nimble: Local typed decisions, contrastive data curation, and model evaluation.
Local typed decisions, contrastive data curation, and model evaluation. - bespokelabsai/nimble
👍1
yibie/awesome-jev
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
Language: Python
#awesome #awesome_list #jev #llm
Stars: 723 Issues: 10 Forks: 104
https://github.com/yibie/awesome-jev
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
Language: Python
#awesome #awesome_list #jev #llm
Stars: 723 Issues: 10 Forks: 104
https://github.com/yibie/awesome-jev
GitHub
GitHub - yibie/awesome-jev: A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System…
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions. - yibie/awesome-jev
❤2
Mak5er/AirCard
Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required)
Language: Swift
Stars: 2063 Issues: 17 Forks: 81
https://github.com/Mak5er/AirCard
Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required)
Language: Swift
Stars: 2063 Issues: 17 Forks: 81
https://github.com/Mak5er/AirCard
GitHub
GitHub - Mak5er/AirCard: Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required)
Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required) - Mak5er/AirCard
❤1
mizorewww/laya-coreml
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
Language: Python
#apple_neural_engine #apple_silicon #coreml #decision_model #laya #local_ai #modernbert #on_device_ai #typed_decisions
Stars: 1004 Issues: 1 Forks: 65
https://github.com/mizorewww/laya-coreml
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
Language: Python
#apple_neural_engine #apple_silicon #coreml #decision_model #laya #local_ai #modernbert #on_device_ai #typed_decisions
Stars: 1004 Issues: 1 Forks: 65
https://github.com/mizorewww/laya-coreml
GitHub
GitHub - mizorewww/laya-coreml: Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions…
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks. - mizorewww/laya-coreml
❤1
awlevin/typesafe-computer-use
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Language: Python
#ai_agents #automation #computer_use #macos #ocr #typesafe
Stars: 773 Issues: 12 Forks: 60
https://github.com/awlevin/typesafe-computer-use
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Language: Python
#ai_agents #automation #computer_use #macos #ocr #typesafe
Stars: 773 Issues: 12 Forks: 60
https://github.com/awlevin/typesafe-computer-use
GitHub
GitHub - awlevin/typesafe-computer-use: Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe…
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. - awlevin/typesafe-computer-use
❤1👍1
newliver666/apk-reverse
Suitable for Android APK reverse engineering analysis
Language: Python
Stars: 754 Issues: 1 Forks: 266
https://github.com/newliver666/apk-reverse
Suitable for Android APK reverse engineering analysis
Language: Python
Stars: 754 Issues: 1 Forks: 266
https://github.com/newliver666/apk-reverse
GitHub
GitHub - newliver666/apk-reverse: Suitable for Android APK reverse engineering analysis
Suitable for Android APK reverse engineering analysis - newliver666/apk-reverse
unreallabsai/unreal-agent
Async-first agent harness
Language: Go
Stars: 1256 Issues: 4 Forks: 59
https://github.com/unreallabsai/unreal-agent
Async-first agent harness
Language: Go
Stars: 1256 Issues: 4 Forks: 59
https://github.com/unreallabsai/unreal-agent
GitHub
GitHub - unreallabsai/unreal-agent: Async-first agent harness
Async-first agent harness. Contribute to unreallabsai/unreal-agent development by creating an account on GitHub.
🔥2👍1
hydra-db/open-glean
An open-source AI platform for knowledge work. Connect your apps, find answers, and get work done.
Language: TypeScript
Stars: 868 Issues: 0 Forks: 373
https://github.com/hydra-db/open-glean
An open-source AI platform for knowledge work. Connect your apps, find answers, and get work done.
Language: TypeScript
Stars: 868 Issues: 0 Forks: 373
https://github.com/hydra-db/open-glean
GitHub
GitHub - hydra-db/open-glean: An open-source AI platform for knowledge work. Connect your apps, find answers, and get work done.
An open-source AI platform for knowledge work. Connect your apps, find answers, and get work done. - hydra-db/open-glean
👍3🎉2
githubnext/localjev
Language: TypeScript
Stars: 734 Issues: 1 Forks: 46
https://github.com/githubnext/localjev
Language: TypeScript
Stars: 734 Issues: 1 Forks: 46
https://github.com/githubnext/localjev
GitHub
GitHub - githubnext/localjev
Contribute to githubnext/localjev development by creating an account on GitHub.
👍1👌1
Lumid-Off/AirCard-Windows
Language: Rust
Stars: 703 Issues: 7 Forks: 50
https://github.com/Lumid-Off/AirCard-Windows
Language: Rust
Stars: 703 Issues: 7 Forks: 50
https://github.com/Lumid-Off/AirCard-Windows
GitHub
GitHub - Lumid-Off/AirCard-Windows
Contribute to Lumid-Off/AirCard-Windows development by creating an account on GitHub.
❤1
driceroland/Search
A small, fast WebKit browser for macOS, by Office Commun.
Language: Swift
Stars: 819 Issues: 116 Forks: 82
https://github.com/driceroland/Search
A small, fast WebKit browser for macOS, by Office Commun.
Language: Swift
Stars: 819 Issues: 116 Forks: 82
https://github.com/driceroland/Search
GitHub
GitHub - driceroland/Search: A small, fast WebKit browser for macOS, by Office Commun.
A small, fast WebKit browser for macOS, by Office Commun. - driceroland/Search
👍1
heyjunpenn/awesome-jev
A verified, community-maintained catalog of 896 open-source projects built with Jev.
Language: Astro
#astro #awesome #awesome_jev #awesome_list #jev #typesafe
Stars: 783 Issues: 2 Forks: 55
https://github.com/heyjunpenn/awesome-jev
A verified, community-maintained catalog of 896 open-source projects built with Jev.
Language: Astro
#astro #awesome #awesome_jev #awesome_list #jev #typesafe
Stars: 783 Issues: 2 Forks: 55
https://github.com/heyjunpenn/awesome-jev
GitHub
GitHub - heyjunpenn/awesome-jev: A verified, community-maintained catalog of 981 open-source projects built with Jev.
A verified, community-maintained catalog of 981 open-source projects built with Jev. - heyjunpenn/awesome-jev
👍2🎉2
volotat/mini-AGI
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
Language: Python
Stars: 727 Issues: 14 Forks: 106
https://github.com/volotat/mini-AGI
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
Language: Python
Stars: 727 Issues: 14 Forks: 106
https://github.com/volotat/mini-AGI
GitHub
GitHub - volotat/mini-AGI: Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI
👍4❤1