AI/ML Engineer's Projects
Let us democratise high-resolution generation! (arXiv 2023)
Deep Learning with TensorFlow, Keras, and PyTorch
Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Deep Reinforcement Learning
Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)
Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Train ImageNet *fast* in 500 lines of code with FFCV
Drag & drop UI to build your customized LLM flow
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Google Colaboratory Notebooks for weekly lab assignments.
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
[CVPR 2023] Official PyTorch implementation of the paper "GAP: Post-Processing Temporal Action Detection"
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
links to conference publications in graph-based deep learning
CUDA accelerated rasterization of gaussian splatting
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
All resources used in IBM Data Science Professional Certification on Coursera, including some notes.
Official ImageNet Model repository
Various installation guides for Large Language Models
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
Notebooks for the "JAX in Action" book
A PyTorch Library for Accelerating 3D Deep Learning Research
Deep Learning for humans