Lists (22)
Sort Name ascending (A-Z)
- All languages
- AppleScript
- Assembly
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Clojure
- CoffeeScript
- Crystal
- Cuda
- D2
- Dart
- Dockerfile
- Elixir
- Elm
- Fluent
- Fortran
- Go
- Groovy
- HCL
- HTML
- Hack
- Haskell
- Java
- JavaScript
- Jinja
- Jsonnet
- Jupyter Notebook
- Just
- Kotlin
- LLVM
- Lua
- M4
- MATLAB
- MDX
- Makefile
- Markdown
- Mojo
- Nim
- Nix
- OCaml
- Objective-C
- Objective-C++
- PHP
- PLpgSQL
- Perl
- PowerShell
- Praat
- Prolog
- Python
- R
- Rascal
- Rich Text Format
- Roff
- RouterOS Script
- Ruby
- Rust
- Scala
- Shell
- Smarty
- Smithy
- Starlark
- Svelte
- Swift
- SystemVerilog
- TeX
- TypeScript
- Verilog
- Vue
- Zig
Starred repositories
LLM extension for OpenRefine
webup / langgraph-up-react
Forked from langchain-ai/react-agentLangGraph template for a simple ReAct agent, with MCP tools support and robust test suites.
Userfriendly JSONL editor for AI fine-tuning
sofdog-gh / fastrtc
Forked from gradio-app/fastrtcThe python library for real-time communication
Real Time Speech Transcription with FastRTC and Local Whisper
nick-botticelli / super-tart
Forked from cirruslabs/tarttart, but with custom AVPBooter ROM, serial I/O, DFU mode, GDB debugging (port 8000), and panic halting. See help menus for `tart create` and `tart run` for more info. Requires SIP/AMFI to be disab…
veralvx / xtts-gradio
Forked from coqui-ai/TTSRun XTTS with Docker/Podman for voice fine-tuning in Gradio's Web UI
Run Orpheus 3B Locally with Gradio UI, Standalone App
Google Research
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Goekdeniz-Guelmez / deep-research
Forked from dzhng/deep-researchAn AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
A library for mechanistic interpretability of GPT-style language models
tairov / llama2.py
Forked from karpathy/llama2.cInference Llama 2 in one file of pure Python
trholding / llama2.c
Forked from karpathy/llama2.cLlama 2 Everywhere (L2E)
gevtushenko / llm.c
Forked from karpathy/llm.cLLM training in simple, raw C/CUDA
OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil
JohannesBuchner / imagehash
Forked from bunchesofdonald/photohashA Python Perceptual Image Hashing Module
haoheliu / AudioSetCaps
Forked from JishengBai/AudioSetCapsAudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language Models
openai / ml-agents
Forked from Unity-Technologies/ml-agentsUnity Machine Learning Agents Toolkit
BaseInfinity / SeleniumGPT
Forked from richardyc/Chrome-GPTGenerate an End-to-End test with a single sentence
sanjeevanahilan / nanoChatGPT
Forked from karpathy/nanoGPTA crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
skrashevich / double-take
Forked from jakowenko/double-takeUnified UI and API for processing and training images for facial recognition.
RTradeLtd / s3x
Forked from minio/minios3x is a minio gateway providing an S3 API powered by TemporalX that uses IPFS as the data storage layer. It lets you turn any S3 application into an IPFS application with no change in application …
regrettable-username / llm.metal
Forked from karpathy/llm.cLLM training in simple, raw C/Metal Shading Language
该项目是 fork 的,如果你觉得不错,可以前往主仓库支持一下。
pythaiml / funAGI
Forked from autoGLM/funAGIfundamental AGI for funAGI workflow point of departure
OthersideAI / vllm
Forked from vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs
ahmetkca / open_flamingo
Forked from mlfoundations/open_flamingoAn open-source framework for training large multimodal models
aditirajnish / aws-document-classifier-and-splitter
Forked from aws-samples/aws-document-classifier-and-splitterIn this repository you will find an aws-sample that will create an AWS Comprehend classification model from documents. It will then use that classification model to split documents. Check out the a…