Lists (10)
Sort Name ascending (A-Z)
Stars
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
We write your reusable computer vision tools. 💜
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Finetuning Large Language Models on One Consumer GPU in 2 Bits
Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Hands on Applications with GPT and other Large Language Models
AliExpress API wrapper for Python 🧧
Free MLOps course from DataTalks.Club
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.
Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.
Code repository for the online course Feature Engineering for Machine Learning
Code Repository for The Kaggle Workbook, Published by Packt
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Simple image captioning model
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
📺 Discover the latest machine learning / AI courses on YouTube.
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…
PyTorch implementation of soft actor critic
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ECCV 2022] Official Pytorch Implementation of the paper : " Zero-Shot Temporal Action Detection via Vision-Language Prompting "