Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

A curated list of all the open-source internships/Programs

List of Research Internships for Undergraduate Students

PyTorch Tutorials from my YouTube channel

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Official Code for Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. Here the paper: https://arxiv.org/abs/2110.11650

Original PyTorch implementation of the paper "Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach", published at the British Machine Vision C…

Translators is a library that aims to bring free, multiple, enjoyable translations to individuals and students in Python. 「翻译官」是一个旨在用Python为个人和学生带来免费、多样、愉快翻译的库。

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection

Official implementation of CVPR2020 paper: "Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion" https://arxiv.org/abs/2003.04490

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

TensorFlow code and pre-trained models for BERT

A collaborative catalog of NLP resources for Indic languages

Object Detection Data Preprocessing: Converts COCO labels to YOLO labels format

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

Plant Disease Detector Web Application

Machine Learning Open Source University

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

📝 An awesome Data Science repository to learn and apply for real world problems.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

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