Mastering Applied AI, One Concept at a Time
- fine-tuning
- finetuning
- finetuning-llms
- inference
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Machine Learning Journal for Intermediate to Advanced Topics.
- data-science
- documentation
- large-language-models
- learning-resources
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
机器学习初学者公众号作品
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
This repository helps you learn Python and Machine Learning from scratch.
- python
- jupyter-notebook
- pandas-dataframe
- numpy
pytorch implementation of openpose including Hand and Body Pose Estimation.
- openpose
- pytorch
- pose-estimation
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026
Deep Reinforcement Learning: Zero to Hero!
- deep-reinforcement-learning
- reinforcement-learning
- deep-learning
- machine-learning
Jupyter notebook and datasets from the pandas video series
- data-science
- jupyter-notebook
- python
- pandas
This repository is deprecated and will be archived
Tracking Any Point (TAP)
- benchmark
- point-tracking
- robotics
- computer-vision
cluster data collected from production clusters in Alibaba for cluster management research
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
- chain-of-thought
- chatbot
- chatgpt
- chatgpt-api
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
🪼 a python library for doing approximate and phonetic matching of strings.
- python
- levenshtein
- soundex
- hamming
Feature selector is a tool for dimensionality reduction of machine learning datasets
This is a workshop designed for Amazon Bedrock a foundational model service.
Course materials and handouts for #100DaysOfCode in Python course
- 100daysofcode
- python
- python3
- learn-to-code
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
- evaluation
- evaluation-metrics
- guidebook
- large-language-models
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Machine Learning Course, Sharif University of Technology