Pinned Repositories
active-learning
amazon-freertos
IoT operating system for microcontrollers.
autoencoding_beyond_pixels
Generative image model with learned similarity measures
caffe-twns
Implementation of Ternary Weight Networks In Caffe
CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
CBRAIN-CAM
Code for neural network parameterization project
distributed-tensorflow-benchmarks
Benchmarking distributed training in TensorFlow.
image-compression-benchmarking
Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"
lot49
prototype mesh incentive ideas
quantized_distillation
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
ArnabKar's Repositories
ArnabKar/CBRAIN-CAM
Code for neural network parameterization project
ArnabKar/awesome_time_series_in_python
This curated list contains python packages for time series analysis
ArnabKar/CodeTF
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
ArnabKar/cvxpy
A Python-embedded modeling language for convex optimization problems.
ArnabKar/ds-test
Assertions, equality checks and other test helpers
ArnabKar/e-maxx-eng
Translation of http://e-maxx.ru into English
ArnabKar/E2EECPE
Code and dataset for paper "End-to-end Emotion-Cause Pair Extraction via Learning to Link"
ArnabKar/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ArnabKar/extend
Entity Disambiguation as text extraction (ACL 2022)
ArnabKar/foundry
Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.
ArnabKar/FrEIA
Framework for Easily Invertible Architectures
ArnabKar/GenX
GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
ArnabKar/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
ArnabKar/IB-INN
Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
ArnabKar/KalmanNet_TSP
code for KalmanNet
ArnabKar/KB-NER
Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.
ArnabKar/LSGM
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
ArnabKar/luxchat
ArnabKar/matlab2python
Simple matlab2python converter
ArnabKar/Papers-1
Quant Research Papers
ArnabKar/PyGauss
Companion package of the review paper entitled 'High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm' by Maxime Vono et al.
ArnabKar/SDV
Synthetic Data Generation for tabular, relational and time series data.
ArnabKar/self-correction-llm-papers
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
ArnabKar/SemEval2022-Task8-TonyX
Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity
ArnabKar/siliconcompiler
SiliconCompiler is an open source compiler framework that automates translation from source code to silicon.
ArnabKar/sql-qa
SQL clone for personal use
ArnabKar/toolformer-pytorch
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
ArnabKar/torchphysics
ArnabKar/zshot
Zero and Few shot named entity & relationships recognition
ArnabKar/zuniswapv2
UniswapV2 clone made in educational purposes