Mastering Applied AI, One Concept at a Time
- fine-tuning
- finetuning
- finetuning-llms
- inference
Repository Index
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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
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
- ai
- fine-tuning
- model-training
- nemotron
Implementing a Neural Network from Scratch
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.
Deep Reinforcement Learning: Zero to Hero!
- deep-reinforcement-learning
- reinforcement-learning
- deep-learning
- machine-learning
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
Official repository of 'Visual-RFT: Visual Reinforcement Fine-Tuning' & 'Visual-ARFT: Visual Agentic Reinforcement Fine-Tuning'’
Financial Sentiment Analysis with BERT
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Jupyter notebook and datasets from the pandas video series
- data-science
- jupyter-notebook
- python
- pandas
Tracking Any Point (TAP)
- benchmark
- point-tracking
- robotics
- computer-vision
This repository is deprecated and will be archived
cluster data collected from production clusters in Alibaba for cluster management research
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.
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 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
Chess reinforcement learning by AlphaGo Zero methods.
- reinforcement-learning
- keras
- alphago-zero
- tensorflow
NVIDIA curated collection of educational resources related to general purpose GPU programming.