Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
- machine-learning
- jupyter-notebook
- python
- python3
Massively parallel rigidbody physics simulation on accelerator hardware.
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
- python
- programming
- learning-exercise
- python-programming-exercises
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
- agents
- ai-systems
- fine-tuning
- llm
The Python Code Tutorials
- python
- python3
- scapy
- ethical-hacking
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
- controlnet
- diffusion
- video-processing
Making Protein folding accessible to all!
- bioinformatics
- multiple-sequence-alignment
- protein-structure
- structure-prediction
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
- artificial-intelligence
- efficient
- knowledge-editing
- large-language-models
A library for debugging/inspecting machine learning classifiers and explaining their predictions
- scikit-learn
- machine-learning
- xgboost
- lightgbm
List of papers, code and experiments using deep learning for time series forecasting
- time-series-forecasting
- lstm-neural-networks
- lstm
- deep-learning
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
- mathematics
- linear-algebra
- python
- jupyter
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Build an email assistant with human-in-the-loop and memory
- agents
- memory
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
Machine Learning University: Accelerated Natural Language Processing Class
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
- nlp
- text-classification
- text-matching
- information-extraction
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.
- machine-learning
- deep-learning
- python
- classification
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
Deep Reinforcement Learning: Zero to Hero!
- deep-reinforcement-learning
- reinforcement-learning
- deep-learning
- machine-learning
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。