Stars
- All languages
- Assembly
- Batchfile
- Bikeshed
- C
- C#
- C++
- CMake
- CSS
- Clojure
- CoffeeScript
- Common Lisp
- Crystal
- Cuda
- Cython
- D
- Dart
- Dockerfile
- Elixir
- Emacs Lisp
- Erlang
- Fennel
- GDScript
- GLSL
- Game Maker Language
- Go
- Go Template
- HCL
- HTML
- Haskell
- Java
- JavaScript
- Jinja
- Jsonnet
- Julia
- Jupyter Notebook
- Kotlin
- Lua
- Luau
- MDX
- Makefile
- Markdown
- Mojo
- MoonScript
- Mustache
- Nim
- OCaml
- Objective-C
- PHP
- Pascal
- Perl
- PowerShell
- Prolog
- Python
- RPM Spec
- Racket
- Ruby
- Rust
- SCSS
- Scala
- ShaderLab
- Shell
- Smarty
- Svelte
- Swift
- SystemVerilog
- TeX
- Tree-sitter Query
- TypeScript
- Typst
- VHDL
- Verilog
- Vim Script
- Vim Snippet
- Vue
- YAML
- Zig
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Learn how to design, develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
The fastai book, published as Jupyter Notebooks
A simple screen parsing tool towards pure vision based GUI agent
Instruct-tune LLaMA on consumer hardware
Kubernetes community content
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Materials for the Hugging Face Diffusion Models Course
A high performance implementation of HDBSCAN clustering.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Python libraries for Google Colaboratory
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Simple UI for LLM Model Finetuning
Training PyTorch models with differential privacy
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
Code / solutions for Mathematics for Machine Learning (MML Book)
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
code and data for the time series analysis vids on my YouTube channel
Simple implementation of OpenAI CLIP model in PyTorch.