Nicholas Fabina's starred repositories

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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Awesome-Deep-Stereo-Matching

A curated list of awesome Deep Stereo Matching resources

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image-matching-models

Code to easily try 30 (and growing) different image matching methods

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model

The Clay Foundation Model (in development)

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awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

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FastSAM

Fast Segment Anything

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techniques

Techniques for deep learning with satellite & aerial imagery

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ivy

Convert Machine Learning Code Between Frameworks

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awesome-mlops

A curated list of references for MLOps

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GCVit

[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers

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segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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yfinance

Download market data from Yahoo! Finance's API

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tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

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backtrader

Python Backtesting library for trading strategies

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zipline

Zipline, a Pythonic Algorithmic Trading Library

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finta

Common financial technical indicators implemented in Pandas.

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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tf-keras-vis

Neural network visualization toolkit for tf.keras

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flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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gluonts

Probabilistic time series modeling in Python

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pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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