Kapil Sachdeva's repositories

rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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angular2-swing

angular 2 component for the swing library (https://github.com/gajus/swing)

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ionic2-code-push-example

Example of how to use Microsoft CodePush with ionic2 and ionic-native

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scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

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od-loss-exp

Some work to compare various object detection loss functions

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probability

Probabilistic reasoning and statistical analysis in TensorFlow

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jetson-nano-image

Create a minimalist, Ubuntu based image for Nvidia jetson nano board

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node-docker-compose

Docker Compose API (not wrapper on python application) for NodeJS

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PECNet

Predicted endpoint conditioned trajectory prediction

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addons

Useful extra functionality for TensorFlow maintained by SIG-addons

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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awesome-normalizing-flows

A list of awesome resources on normalizing flows.

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datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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distfit

Python package for probability density function fitting of univariate distributions of non-censored data

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esp-idf

Espressif IoT Development Framework. Official development framework for ESP32.

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langchain

⚡ Building applications with LLMs through composability ⚡

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manim

Animation engine for explanatory math videos

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manim-tweets

Code for tweets by @manim_community on twitter

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mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

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optax

Optax is a gradient processing and optimization library for JAX.

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rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

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sktime

A unified framework for machine learning with time series

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symbulate

A symbolic algebra for specifying simulations.

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TaskWeaver

A code-first agent framework for seamlessly planning and executing data analytics tasks.

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torchview

torchview: visualize pytorch models

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tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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vision-explanation-methods

Methods for creating saliency maps for computer vision models.

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yocto-tls

A minimalist implementation of the TLS 1.3 cryptographic protocol targeting deeply embedded systems.

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