This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
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This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
YoloV3 Implemented in Tensorflow 2.0
A python tutorial on bayesian modeling techniques (PyMC3)
Code for the Make Your Own Neural Network book
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
MTCNN face detection implementation for TensorFlow, as a PIP package.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Machine Learning University: Accelerated Natural Language Processing Class
3D U-Net model for volumetric semantic segmentation written in pytorch
Qwen-UI-Agent: Towards Next-Generation Real-World Centric Foundation GUI Agent
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
A repo for data science related questions and answers
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
Doing simple retrieval from LLM models at various context lengths to measure accuracy
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Code and Slides
Mastering Applied AI, One Concept at a Time
Machine Learning Journal for Intermediate to Advanced Topics.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes