Lists (1)
Stars
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Code and Slides
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…
🤖 Places where you can learn robotics (and stuff like that) online 🤖
Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation to reality.
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and …
Code to reproduce the paper "How to Fin E345 e-Tune BERT for Text Classification"
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
We write your reusable computer vision tools. 💜
Tutorials for converting natural language to SQL (NL2SQL) to fetch required data.
This repo container code for data driven AI workshop
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Learn LeetCode and prepare for coding interviews with free resources.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
LlamBERT implements a hybrid approach approach for text classification that leverages LLMs to annotate a small subset of large, unlabeled databases and uses the results for fine-tuning transformer …
A PyTorch implementation of Learning to Simulate
PyTorch Implementation of Learning-to-Simulate (ICML2020).
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
Robust recipes to align language models with human and AI preferences
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Homeworks for DataScience course Introduction to Machine Learning
This is a implementation of the 3D FLAME model in PyTorch
The project provides a Tailor-made travel itinerary for users using their travel details like destination, budget, start and end dates of travel and their preferences of attraction categories, hote…