harrisonho99

models

Models and examples built with TensorFlow

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

llama.cpp

LLM inference in C/C++

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bert

TensorFlow code and pre-trained models for BERT

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

guidance

A guidance language for controlling large language models.

gpt-3

GPT-3: Language Models are Few-Shot Learners

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

open_clip

An open source implementation of CLIP.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

autograd

Efficiently computes derivatives of numpy code.

dlrm

An implementation of a deep learning recommendation model (DLRM)

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

OneFormer

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Deep-Learning

A few notebooks about deep learning in pytorch

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

model-soups

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

coccoc-tokenizer

high performance tokenizer for Vietnamese language

browser-ml-inference

Edge Inference in Browser with Transformer NLP model

VMLU