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awesome-public-datasets

A topic-centric list of HQ open datasets.

building-data-science-applications-with-fastapi-second-edition

cogvlm

a state-of-the-art-level open visual language model | 多模态预训练模型

cv

cv_v1

deep-learning-for-genai-text-generation-with-transformer-model

This Repo is how I learn the theory and implement of text generation with transformer sequence-to-sequence model.

deep-learning-for-text-movie-classification-with-sequence-model-approach

The repo teach me about word embedding layer along side with padding and masking. It also contain the training example by leveraging pretrained word embeddings.

deep-learning-for-text-movie-reviews-classification

The repo teaches me how to work with deep learning for text classification and in-depth explanation about processing words as a set, the bag-of-words approach

deep-learning-for-text-training-transformer-encoder-for-movie-review-classification

This repo is what I learn about Transformer Encoder and Positional Embedding for Sequence model to classify movies review.

deep-learning-for-text-transformer-encoder-and-decoder-for-machine-translation

This is what I learn to train machine translation from English to Spanish with sequence-to-sequence learning with RNNs and Transformer model.

deep-learning-for-timeseries

This is the Repo that I have learnt about deep learning for timeseries using RNN, GRU, LSTM, Bidirectional LSTM and Stacking recurrent layers. This can be used as future review and reference as it include both theory and implementation.

deep-learning-interpreting-and-visualizing-convnet-layers

Learn how to interpret and visualize the convnet layers. This Repo includes how to to check what each layer does and visualize what behind the scene of the trained model.

deep-learning-modern-convnet-architecture

This Repo includes the some intuition and implementation of Residual connection, Batch Normalization and SeparableConv2D. The in-depth theory will be include in my note in Notion template which I shared as a website link

deep-learning-predicting-house-prices-with-regression-model

This repo is about predicting house price with deep learning regression model

deep-learning-with-keras-framework

This repo is used for future reference about keras Functional API and Submodel class used to build deep learning model

deep_learning_classifying_movie_reviews

This repo is about training the beginner project using deep learning model that I learn from Deep Learning with Keras

deep_learning_computer_vision_for_image_segmentation

The repo teach me about image segmentation. It gives me enough information to get started with image segmentation and will serve as the future reference.

deep_learning_multiclass_classification

Build a model to classify Reuters newswires into 46 mutually exclusive topics

deepunderstandingofdeeplearning

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

diffusion_models_from_scratch

Creating a diffusion model from scratch in PyTorch to learn exactly how they work.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dochii

dochiifresh

example-fastapi

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

hardhat-fund-me-solidity

introduction-to-deep-learning-for-computer-vision

The repo provide the reference for me to look up on how to get started with computer vision, including CNN, feature extraction and fine-tuning with a pretrained model.

introtonlp-365

langchain-test-facts