Highlights
- Pro
Block or Report
Block or report danindiana
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (22)
Sort Name ascending (A-Z)
alphabrain
Biomorphic computingArduino
BobSadie
data_ingest
Egregore
ESP32
Federated Learning
GGUF
ghiegal
Griffgen
grug.ai
grug.aillama
Machine Learning
NLP-document processing
node_js
OCR
Optimized Binary Data Storage
A library optimized to efficiently store and manage large amounts binary data, supporting fast compression/decompression of arrays in 1D-NDProgramming Languages
raspberry pi
S3_JS_File_Uploader
Squid Buddy
Your Eight armed calmfriend.Stable Diffusion
Stars
Language: Python
Sort by: Most stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Official Code for DragGAN (SIGGRAPH 2023)
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.
A high-throughput and memory-efficient inference and serving engine for LLMs
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
aider is AI pair programming in your terminal
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Fast and memory-efficient exact attention
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
pix2code: Generating Code from a Graphical User Interface Screenshot
pix2tex: Using a ViT to convert images of equations into LaTeX code.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Low-code framework for building custom LLMs, neural networks, and other AI models
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"