kurianbenoy

# installing git-lfs
apt-get install git-lfs
# installing pytorch image models
pip install kaggle timm==0.6.2.dev0 fastkaggle

kurianbenoy

import random

def find_pairs(M1, M2, val):
    s =list()
    for i in range(0,1000000):
        s.append(M1[i])
    diff = {1000000 -n:n for n in M1}
    pairs = []
    # diff = []
    # for i in range(0,1000000):

kurianbenoy

M1 = []
M2 = []

def find_pairs(M1, M2, val):
    s =set()
    for i in range(0,1000000):
        s.add(M1[i])

    for j in range(0,1000000):
        if((val-M1[j]) in s):

kurianbenoy

[NbConvertApp] Converting notebook __notebook__.ipynb to notebook

[NbConvertApp] Executing notebook with kernel: python3

2020-04-25 02:07:01.976986: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F

2020-04-25 02:07:01.998346: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000175000 Hz

2020-04-25 02:07:02.000270: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5610c4dfcb60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:

kurianbenoy

{"model": "Tacotron2", "run_name": "ljspeech-graves", "run_description": "tacotron2 wuth graves attention", "audio": {"num_mels": 80, "num_freq": 1025, "sample_rate": 22050, "frame_length_ms": 50, "frame_shift_ms": 12.5, "preemphasis": 0.98, "min_level_db": -100, "ref_level_db": 20, "power": 1.5, "griffin_lim_iters": 60, "signal_norm": true, "symmetric_norm": true, "max_norm": 4, "clip_norm": true, "mel_fmin": 0.0, "mel_fmax": 8000.0, "do_trim_silence": true}, "reinit_layers": [], "batch_size": 32, "eval_batch_size": 8, "r": 7, "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], "loss_masking": true, "run_eval": true, "test_delay_epochs": 10, "test_sentences_file": null, "noam_schedule": false, "grad_clip": 1, "epochs": 2, "lr": 0.0001, "wd": 1e-06, "warmup_steps": 4000, "memory_size": -1, "prenet_type": "original", "prenet_dropout": true, "attention_type": "original", "attention_heads": 5, "attention_norm": "sigmoid", "windowing": false, "use_forward_attn": false, 

kurianbenoy

## coz

- first year contribution(
- NODE.js + GITHUB
- MOZILLA regional sprints
- 

kurianbenoy

(custom-set-variables
 ;; custom-set-variables was added by Custom.
 ;; If you edit it by hand, you could mess it up, so be careful.
 ;; Your init file should contain only one such instance.
 ;; If there is more than one, they won't work right.
 '(inhibit-startup-screen t))
(custom-set-faces
 ;; custom-set-faces was added by Custom.
 ;; If you edit it by hand, you could mess it up, so be careful.
 ;; Your init file should contain only one such instance.

kurianbenoy

  (define-skeleton insert-org-entry
  "Prompt for task, estimate and category"
  nil
  '(setq task  (skeleton-read "Task: "))
  '(setq estimate  (skeleton-read "Estimate: "))
  '(setq category (skeleton-read "Category: "))
  '(setq timestamp (format-time-string "%s"))
  "** " task \n
  ":PROPERTIES:" \n
  ":ESTIMATED: " estimate \n

kurianbenoy

Loading 00debian-vars...done
Loading /etc/emacs/site-start.d/50cmake-data.el (source)...done
Loading /etc/emacs/site-start.d/50dictionaries-common.el (source)...
Loading debian-ispell...
Loading /var/cache/dictionaries-common/emacsen-ispell-default.el (source)...done
Loading debian-ispell...done
Loading /var/cache/dictionaries-common/emacsen-ispell-dicts.el (source)...done
Loading /etc/emacs/site-start.d/50dictionaries-common.el (source)...done
Loading /etc/emacs/site-start.d/50festival.el (source)...done
For information about GNU Emacs and the GNU system, type C-h C-a.

kurianbenoy

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while(1):

    # Take each frame
    _, frame = cap.read()